Intuitive eating and food intake in men and women: Results from the Swiss food panel study.

Although intuitive eating (IE) interventions have consistently shown benefits for psychological wellbeing and some have shown improvements in physical wellbeing, there is scarce information on the relationship between IE and food intake. Given the popularity of IE as an alternative to dieting, it's important to explore its relationship with food intake. The relationships between IE, Body Mass Index (BMI), diet quality, self-evaluation of dietary intake and physical activity were investigated. A randomly selected sample of adults from the German and French-speaking parts of Switzerland (N = 5,238, 51% men, 20-100 years, BMI 15-62 kg/m2) completed a self-administered questionnaire comprising measures of a diverse range of eating related variables. Intuitive Eating was assessed with the IES-2. Food intake was measured with a semiquantitative food frequency questionnaire. Pearson correlations between the IES-2 and variables of interest were calculated for men and women separately. Although total IES-2 scores showed moderate negative correlations with BMI in men and women, the four IES-2 subscales showed different relationships with food intake. In contrast to the other subscales, unconditional permission to eat moderately correlated with poorer diet quality scores, and consistently showed associations with a more negative self-evaluation of eating behavior. The other three IES-2 subscales showed a few small positive and negative correlations with food intake, including small positive associations of diet quality scores in women, but not men, with eating for physical rather than emotional reasons and reliance on hunger and satiety cues. Further studies are needed to determine the impact of IE interventions on food intake.

Speed of eating and 3-year BMI change: a nationwide prospective study of mid-age women.

OBJECTIVE: To conduct the first nationwide population survey to examine the associations between changes in speed of eating and weight gain over 3 years. The study also explored whether faster eating at baseline was related to healthy-weight women becoming overweight after 3 years. DESIGN: Longitudinal. At baseline, participants were randomly selected from a nationally representative sampling frame to participate in a prospective study. Women completed self-administered baseline questionnaires on demographic and health measures. Self-reported speed of eating, smoking status, physical activity, menopause status, and height and weight were collected at baseline and again 3 years later. SETTING: Nationwide study, New Zealand. SUBJECTS: Women (n 1601) aged 40-50 years were recruited at baseline from New Zealand electoral rolls. RESULTS: There was no evidence of associations between 3-year BMI adjusting for baseline BMI and either baseline speed of eating (slower and faster; P=0.524) or change in speed of eating (consistently faster eating, consistently slower eating, slower eating at baseline but not at 3 years, faster eating at baseline but not at 3 years; P=0.845). Of the 488 women with healthy BMI (18.5 to <25.0 kg/m2) at baseline, seventy-seven (15.8%) became overweight (BMI≥25.0 kg/m2) after 3 years. Compared with those who were slower eaters at baseline, faster eating at baseline did not increase the risk of becoming overweight 3 years later (P=0.958) nor did change in speed of eating (P=0.236). CONCLUSIONS: Results suggest that once women have reached mid-life, faster eating does not predict further weight gain.

Eating in response to hunger and satiety signals is related to BMI in a nationwide sample of 1601 mid-age New Zealand women.

OBJECTIVE: To examine the association between eating in response to hunger and satiety signals (intuitive eating) and BMI. A second objective was to determine whether the hypothesized higher BMI in less intuitive eaters could be explained by the intake of specific foods, speed of eating or binge eating. DESIGN: Cross-sectional survey. Participants were randomly selected from a nationally representative sampling frame. Eating in response to hunger and satiety signals (termed 'intuitive eating'), self-reported height and weight, frequency of binge eating, speed of eating and usual intakes of fruits, vegetables and selected high-fat and/or high-sugar foods were measured. SETTING: Nationwide study, New Zealand. SUBJECTS: Women (n 2500) aged 40-50 years randomly selected from New Zealand electoral rolls, including Maori rolls (66 % response rate; n 1601). RESULTS: Intuitive Eating Scale (IES) scores were significantly associated with BMI in an inverse direction, after adjusting for potential confounding variables. When controlling for confounding variables, as well as potential mediators, the inverse association between intuitive eating (potential range of IES score: 21-105) and BMI was only slightly attenuated and remained statistically significant (5.1 % decrease in BMI for every 10-unit increase in intuitive eating; 95 % CI 4.2, 6.1 %; P < 0.001). The relationship between intuitive eating and BMI was partially mediated by frequency of binge eating. CONCLUSIONS: Eating in response to hunger and satiety signals is strongly associated with lower BMI in mid-age women. The direction of causality needs to be investigated in longitudinal studies and randomized controlled trials.

Transtheoretical Model Constructs for Physical Activity Behavior are Invariant across Time among Ethnically Diverse Adults in Hawaii.

OBJECTIVES: Physical activity (PA) research applying the Transtheoretical Model (TTM) to examine group differences and/or change over time requires preliminary evidence of factorial validity and invariance. The current study examined the factorial validity and longitudinal invariance of TTM constructs recently revised for PA. METHOD: Participants from an ethnically diverse sample in Hawaii (N=700) completed questionnaires capturing each TTM construct. RESULTS: Factorial validity was confirmed for each construct using confirmatory factor analysis with full-information maximum likelihood. Longitudinal invariance was evidenced across a shorter (3-month) and longer (6-month) time period via nested model comparisons. CONCLUSIONS: The questionnaires for each validated TTM construct are provided, and can now be generalized across similar subgroups and time points. Further validation of the provided measures is suggested in additional populations and across extended time points.

Validation of brief instruments to measure adult fruit and vegetable consumption.

Four brief food frequency questionnaires were developed and validated to measure an adult's usual daily intake of fruit or vegetable servings over the past month. Fifty males and 50 females, aged 25-52 years, completed two fruit instruments, two vegetable instruments, and a dietary history (the reference method). Individual agreement and group mean estimation were assessed. The 5-item fruit instrument and the 15-item vegetable instrument performed best. At an individual level, the 5-item fruit instrument had 64% sensitivity and 88% specificity for assessing goal attainment (≥ 2 fruit servings/day), while the 15-item vegetable instrument had 67% sensitivity and 82% specificity for measuring goal attainment (≥ 3 vegetable servings/day). At a group level, the 15-item vegetable instrument closely estimated mean intake (ratio of geometric means=0.94), while the 5-item fruit instrument overestimated mean intake by 32%. Nevertheless, when it was used to rank participants, reference method fruit servings increased across the quartiles of intake. These two instruments can be used to assess goal attainment. This vegetable instrument can also be used to estimate group mean intakes, while the fruit instrument can be used to rank participants. Used appropriately, these instruments can be used for screening, monitoring, and evaluation purposes in New Zealand public health and clinical settings.

A Research Agenda to Examine the Efficacy and Relevance of the Transtheoretical Model for Physical Activity Behavior.

Regular physical activity (PA) decreases the risk of several chronic diseases including some cancers, type II diabetes, obesity, and cardiovascular disease; however, the majority of US adults are not meeting the recommended levels to experience these benefits. To address this public health concern, the underlying mechanisms for behavior change need to be understood, translated and disseminated into appropriately tailored interventions. The Transtheoretical Model (TTM) provides a framework for both the conceptualization and measurement of behavior change, as well as facilitating promotion strategies that are individualized and easily adapted. The purpose of this manuscript is to present the constructs of the TTM as they relate to PA behavior change. We begin with a brief synopsis of recent examinations of the TTM constructs and their application. Subsequent to its introduction, we specifically present the TTM within the PA context and discuss its application and usefulness to researchers and practitioners. Criticisms of the TTM are also noted and presented as opportunities for future research to enhance the valid application of the TTM. We offer general study design recommendations to appropriately test the hypothesized relationships within the model. With further examinations using appropriate study design and statistical analyses, we believe the TTM has the potential to advance the public health impact of future PA promotion interventions.

Associations of quality of life with physical activity, fruit and vegetable consumption, and physical inactivity in a free living, multiethnic population in Hawaii: a longitudinal study.

INTRODUCTION: High intake of fruit and vegetables and being physically active are associated with reduced risk of chronic diseases. In the current study, we examined the associations of physical activity, fruit and vegetable consumption, and TV/video watching (indicator for physical inactivity) with perceived quality of life (QOL) in a sample of free living adults. METHODS: A cohort (N = 139) from a random, multi-ethnic sample of 700 adults living in Hawaii was evaluated at 3-month intervals for the first year and 6-month intervals for the second year. QOL was assessed from self-reports of mental or physical health at the end of the study. RESULTS: Overall, the cohort participants appeared to maintain relatively constant levels of physical activity, fruit and vegetable intake, and TV/video watching. Physical activity was positively related to mental health (p-values < 0.05), but not physical health, at all time points regardless of participants' fruit and vegetable consumption and hours of TV/video watching. Neither mental nor physical health was associated with fruit and vegetable intake or TV/video watching. CONCLUSION: Our study supports that physical activity is positively associated with mental health. Fruit and vegetable consumption and TV/video watching may be too specific to represent an individual's overall nutritional status and physical inactivity, respectively.

Investigating fruit and vegetable consumption using the transtheoretical model.

PURPOSE: Test the applicability of the transtheoretical model (TTM) to adult fruit/vegetable consumption. DESIGN: Cross-sectional random-digit dial survey. SETTING: Hawaii. SUBJECTS: 700 (62.6% female; age [mean +/- SD], 47 +/- 17.1 years; education [mean +/- SD], 14.6 +/- 2.8 years; 35.0% white, 31.1% Asian, 22.1% native Hawaiian/Pacific Islander, 11.8% other). MEASURES: Stages, processes, self-efficacy, decisional balance, and self-reported fruit/vegetable consumption. ANALYSIS: Confirmatory factor analysis tested the factor structure. Analyses of variance were used to explore stage differences in constructs. RESULTS: Stage distribution was precontemplation (33%), contemplation (4%), preparation (37%), action (3%), and maintenance (23%). A 10-factor process model with two higher-order correlated factors (experiential and behavioral) provided the best data fit (chi2 = 1446.12; df = 366; p < .0001; comparative fit index [CFI] = .89; standardized root mean square residual [SRMR] = .05). The self-efficacy structure fit the data well (chi 2 = 81.86; df = 9; p < .0001; CFI = .94; SRMR = .04), as did the decisional balance structure (chi2 = 37.42; df = 19; p = .007; CFI = .99; SRMR = .02). Processes, self-efficacy, decisional balance, and fruit/vegetable consumption behavior differed significantly by stage, with medium effect sizes for most variables. CONCLUSION: The variables revealed adequate fit to the theorized measurement models. TTM predictions regarding stage differences in self-efficacy, pros and cons, and fruit/vegetable consumption were confirmed; however, most experiential and behavioral processes increased in the early stages and then leveled off.

Non-dieting group interventions for overweight and obese women: what predicts non-completion and does completion improve outcomes?

OBJECTIVE: To determine factors which predict non-completion of group non-dieting interventions for overweight women, and to investigate whether completion improves outcomes. DESIGN: First, baseline predictors of non-completion were identified; then changes at 10 weeks and 12 months were compared between completers and non-completers of 10-week non-dieting interventions. SETTING: General community. SUBJECTS: Participants were 119 women (aged 25-65 years, BMI > or = 28 kg/m2) with at least one cardiovascular risk factor. Participants who attended at least eight of the ten sessions were classified as completers, and non-completers were those who attended fewer than eight sessions. Measures included BMI, blood pressure, psychological distress, lifestyle behaviours and eating self-efficacy. RESULTS: Logistic regression analyses indicated that women were less likely to be non-completers at non-dieting group programmes if, at baseline, they were more highly educated or had healthier nutrition behaviours (controlling for education). Only healthier nutrition behaviour was negatively associated with non-completion in the final model. Twelve months after the intervention, completers showed significantly greater improvements in body weight (mean change -0.53 kg), systolic and diastolic blood pressure (-6.3 and -4.1 mmHg, respectively), stress management behaviour score (+0.5) and psychotic symptoms score (-0.1) than non-completers (all P < 0.05). CONCLUSIONS: Highly educated women already engaging in some healthier lifestyle choices were less likely to be non-completers in non-dieting group programmes. Since important treatment outcomes vary according to attendance, future trials of non-dieting interventions should report the effects of completion on outcomes.

Validated scales to assess adult decisional balance to eat more fruits and vegetables.

A scale to measure adult decisional balance to eat more fruits and vegetables was developed and confirmed, and its psychometric properties were assessed. Two simple random samples of adults ages 25-60 years were selected from a nationally representative sampling frame. The development survey had a 72% response rate (n = 231). The confirmation survey had a 67.4% response rate (n = 2132). In both surveys, a self-administered questionnaire assessed demographics, fruit and vegetable intakes, stages of change, and decisional balance. Principal components analysis with varimax rotation and confirmatory factor analysis were performed. The decisional balance scale had three reliable subscales: "health pros," "non-health pros," and "cons." Model fit was adequate for a "pros" and "cons" hierarchical structure. For both fruits and vegetables, health pros increased significantly between precontemplation and contemplation stages, surpassing the cons. Non-health pros increased significantly between precontemplation and contemplation fruit stages, surpassing the cons in preparation stage. Between precontemplation and action stages, health pros increased (mean effect size = 0.90 [fruit] and 0.80 [vegetables]) and cons decreased (mean effect size = 0.27 [fruit] and 0.35 [vegetables]). Heterogeneity in this sample may have diluted these effect sizes. This decisional balance scale is valid and reliable.

The Power of Food: Self-control moderates the association of hedonic hunger with overeating, snacking frequency and palatable food intake.

The purpose of the study was to explore whether self-control moderates the associations between hedonic hunger and overeating frequency, snacking frequency and palatable food intake. Data from the first wave of the Swiss Food Panel 2.0 study was analyzed (N = 4774), from the German- and French-speaking part of Switzerland (52% men). Measures included hedonic hunger assessed with the Power of Food Scale (PFS), the short form Self-Control Scale, overeating frequency, snacking frequency, intake of high-fat salty snack foods, and intake of high-sugar foods assessed with a semiquantitative food frequency questionnaire. Higher scores on the PFS and lower self-control capacities were correlated with higher intakes of both high-fat salty snack foods and high-sugar foods (referred to here as palatable foods), higher overeating frequency and higher snacking frequency. Four separate moderation analyses revealed that the positive associations of hedonic hunger with overeating frequency, snacking frequency and palatable food intake were significantly attenuated by self-control. Results of the present study indicate that people who are highly sensitive to the ready availability of palatable foods but also have high levels of self-control exhibit less frequent overeating and snacking, including less frequent intake of unhealthy palatable foods, than those low in self-control. Consequently, self-control may prevent overeating and thus may serve as a protective factor that decreases the risk of becoming overweight in individuals who are highly sensitive to the food environment.

Dietary Intake Nutritional Status and Lifestyle of Adolescent Vegetarian and Nonvegetarian Girls in New Zealand (The SuNDiAL Project): Protocol for a Clustered, Cross-Sectional Survey.

BACKGROUND: Anecdotally, vegetarian eating patterns seem to be increasing in parallel with growing concerns about environmental sustainability. While this pattern of eating is widely believed to be associated with benefits for the planet and individual health, it may increase the risk of inadequate intakes and nutrient deficiency if not planned carefully. Adolescent girls may be particularly at risk, as they have increased requirements for nutrients such as iron, zinc, calcium, and vitamin B12 during growth and development. OBJECTIVE: The objective of the SuNDiAL Project (Survey of Nutrition, Dietary Assessment, and Lifestyles) is to compare the dietary intakes and habits, nutrition status, motivations, attitudes, and physical activity of a sample of vegetarian and nonvegetarian adolescent girls in New Zealand. METHODS: A clustered, cross-sectional, nationwide study of adolescents aged 15-18 years was conducted. Secondary schools were recruited throughout New Zealand, and pupils (n=290) were invited to participate in data collection in either the first (February to April) or third (August to October) school term of 2019 (New Zealand schools operate on a 4-term year). Sociodemographic and health information; vegetarian status; dietary habits; and attitudes, motivations, and beliefs regarding food choices were assessed via an online self-administered questionnaire. Dietary intakes were collected via two 24-hour diet recalls on nonconsecutive days and will be adjusted for within-person variation using the Multiple Source Method, to represent usual intakes. Nutrient adequacy will be assessed by the estimated average requirement cut-point method or probability approach as appropriate. Height and weight were measured, and blood and urine samples collected for micronutrient status assessment. Participants wore an accelerometer for 7 days to assess 24-hour activity patterns (time spent asleep, sedentary, or engagement in light-intensity or moderate-to-vigorous intensity physical activity). RESULTS: Recruitment and data collection were conducted in 2019. Data are currently being cleaned and analyzed, with publication of the main results anticipated at the end of 2020. CONCLUSIONS: The SuNDiAL Project will provide a meaningful and timely description of diet, nutrition status, and motivational factors associated with vegetarianism and identify any risks this pattern of eating may pose for female adolescents. The results of this study will support the development of targeted recommendations and interventions aimed at enhancing the health, growth, and development of adolescent girls. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12619000290190; https://tinyurl.com/yaumh278. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/17310.

Failure of post-action stages of the transtheoretical model to predict change in regular physical activity: a multiethnic cohort study.

BACKGROUND: Predicting variation in meeting recommended levels of physical activity is important for public health evaluation. PURPOSE: The purpose of this study is to determine the predictive value of stages of the Transtheoretical Model (TTM) for classifying people who meet the US Healthy People 2010 guideline for regular physical activity. METHODS: A cohort (N = 497) from a random, multiethnic sample of 700 adults living in Hawaii was assessed at 6-month intervals three or more times for 2 years. Latent transition analysis was used to classify people according to TTM stages and separately according to whether they met the guideline. The predictive value of pre- vs. post-action stages was then tested. RESULTS: Stages were more likely to falsely classify people as meeting the guideline than to falsely classify them as not meeting it. Probabilities of predicting 6-month transitions were about 50% for the stable class of meeting the guideline each time and just 25% for transitions between meeting and not meeting the guideline. CONCLUSION: The TTM post-action stages had limited usefulness in this cohort. Further longitudinal study is needed to determine whether TTM stages can accurately classify transitions from physical inactivity to physical activity below recommended levels.

Validated scales to assess adult self-efficacy to eat fruits and vegetables.

PURPOSE: An audience-centered approach was used to develop valid and reliable scales to measure adult self-efficacy to eat fruit and vegetables. DESIGN: Cross-sectional survey of a national population. SETTING: New Zealand. SUBJECTS: A sample of 350 adults ages 25 to 60 years was randomly selected from a nationally representative sampling frame. Overall, 231 questionnaires were returned, producing a 72% response rate. The mean age of subjects was 42.7years; 58% were female; 80% were of European descent; 11% were indigenous Maori. MEASURES: The 76-item, self-administered questionnaire collected data on demographics, fruit and vegetable intakes, stages of change, decisional balance, and self-efficacy (24 items). ANALYSIS: Principal components analysis with oblimin rotation was performed. RESULTS: Principal components analysis yielded three distinct and reliable scales for self-efficacy to eat "vegetables," "fruit," and "fruit and vegetables" (Cronbach alpha = .80, .85, and .73, respectively). These scales were correlated, but only the "vegetable" scale was positively correlated with the "fruit and vegetable" scale (Kendall tau r = 0.30, -0.26 [fruit, "fruit and vegetables"], -0.38 [fruit, vegetable]). As predicted, self-efficacy was associated with intake (r = 0.30 [fruit], 0.34 [vegetables]). CONCLUSION: Assuming the factor structure is confirmed in independent samples, these brief psychometrically sound scales may be used to assess adult self-efficacy to eat fruit and to eat vegetables (separately) but not self-efficacy to eat "fruit and vegetables."

Weight-Focused Physical Activity Is Associated with Poorer Eating Motivation Quality and Lower Intuitive Eating in Women.

BACKGROUND: Evidence suggests that physical activity may be related to improved eating regulation, helping people self-regulate their eating in a healthier way. Yet the positive associations between physical activity and eating-related behaviors appear to depend on the goals pursued by individuals when they engage in physical activity. OBJECTIVE: This study investigated differences in eating motivations (informed by Self-Determination Theory) and intuitive eating between women who did physical activity to lose weight (PA-Wt) vs for non-weight goals (PA-NWt), and explores whether eating motivations mediate associations between weight-focused physical activity and intuitive eating. DESIGN/PARTICIPANTS: A sample of 1,435 physically active women (40 to 50 years) participated in a nationally representative survey conducted in 2009 in New Zealand. Women were asked whether they did physical activity predominantly to lose weight and were dichotomized into PA-Wt and PA-NWt groups. MAIN OUTCOME MEASURES: Questions assessing eating in response to hunger and satiety cues (intuitive eating) and eating-related motivations were completed by participants. STATISTICAL ANALYSES: Analyses of covariance, t tests, correlations, and mediation analyses were conducted to test the study hypotheses. RESULTS: PA-Wt participants reported lower levels of intuitive eating than did PA-NWt (0.26

Learning to eat intuitively: A qualitative exploration of the experience of mid-age women.

Qualitative studies examining women's experiences of learning to eat more intuitively are scarce. We aimed to explore the experience of learning intuitive eating among mid-age women (n = 11) who participated in a web-based intuitive eating programme. Motivation to learn intuitive eating, perceptions of the experience of attempting to eat more intuitively, and facilitators and barriers to intuitive eating were explored using inductive thematic analysis. Findings suggest that women were able to learn to eat more intuitively; however, they encountered social and environmental barriers, and the 'unconditional permission to eat' aspect of intuitive eating was experienced as the most challenging.

Intuitive eating and gestational weight gain.

This observational study was designed to establish whether there is a relationship between intuitive eating and gestational weight gain. Intuitive eating involves eating according to hunger and satiety cues, rather than following diet rules or eating in response to external triggers or emotions. Higher levels of intuitive eating are associated with bodyweight in the normal range in women during young and middle adulthood. Excess gestational weight gain is associated with an increased incidence of adverse health outcomes for mothers and children, including many pregnancy related conditions and, following pregnancy, an increased likelihood of obesity among mothers and children. Pregnant women were recruited at their nuchal translucency scan (11-14 weeks gestation), in Dunedin, New Zealand, between 2013 and 2015. A cohort of 218 women completed questionnaires at four times during their pregnancies. Intuitive eating was measured using a version of the Intuitive Eating Scale (IES) adapted for pregnant women and revalidated with this population. Gestational weight gain was calculated at the term visit (>35 weeks gestation) and babies' birth weight was established from the electronic maternity system. Mean total IES scores (and all IES subscales) increased across pregnancy. For every one point greater total IES score at baseline, there was a 1.7 (0.5, 2.9) kg lower gestational weight gain. There was no association between babies' birth weight and intuitive eating. Intuitive eating appears to be associated with lower gestational weight gain but not babies' birth weight. It remains to be seen whether intuitive eating can be increased by educational interventions during pregnancy and thus have an impact on gestational weight gain.

Sustainability of health and lifestyle improvements following a non-dieting randomised trial in overweight women.

OBJECTIVE: To compare three non-dieting interventions that focused on lifestyle change rather than weight loss, in terms of the sustainability of improvements in lifestyle behaviors, psychological well-being and medical symptoms at 2 years. METHOD: In Dunedin, New Zealand in 2002/2003, 225 obese/overweight women (BMI > or = 28; 25-68 years) participated in a randomised, intention-to-treat trial comparing two group programs (P1, P2) and a self-guided mail-delivered program (P3). Only P1 included intensive relaxation response training. All three non-dieting interventions involved a 10-week program, followed by an eight-month support phase. Participants completed baseline, 1-year and 2-year assessments. Outcomes included behavioral, psychological and medical symptom measures and a composite success score. RESULTS: 118 participants completed the 2-year follow-up. Only among P1 participants were the reductions in psychological distress and medical symptoms achieved at 1 year, also maintained at 2 years. At 2 years, P1 participants had significantly greater increases in stress management behaviors than those in P2 (p<0.05), and significantly greater success scores than those in P3 (p<0.05). In all three programs, mean weight was unchanged at 2 years. CONCLUSION: Inclusion of relaxation response training in a healthy lifestyle program facilitates long-term maintenance of psychological and medical symptom improvements even in the absence of weight loss.

Evaluation of a "nondieting" stress reduction program for overweight women: a randomized trial.

PURPOSE: Determine if a "nondieting" intervention focused on intensive training in eliciting the relaxation response enhances health outcomes compared with nondieting interventions without such training. DESIGN: Randomized trial with follow-up at 10 weeks, 4 months, and 12 months. SETTING: General community. SUBJECTS: Total of 225 overweight and obese women with at least one other cardiovascular risk factor. INTERVENTIONS: Three 10-week nondieting interventions: a group program (P1) focused on intensive training in techniques for eliciting the relaxation response (n = 60), a group program (P2) focused on healthy eating and physical activity (n = 61), and a self-guided, mail-delivered version of P2 (P3; n = 101). MEASURES: The Revised Symptom Checklist measured psychological distress, the Medical Symptoms Checklist measured the experience of medical symptoms, and the Health-Promoting Lifestyle Profile measured a range of lifestyle behaviors. Self-efficacy for low-fat eating intuitive eating, and body mass index were also assessed. ANALYSIS: An intention-to-treat analysis was used. RESULTS: At 12 months, P1 produced statistically greater improvements in stress management behaviors and medical symptom discomfort and was the only program to significantly improve self-efficacy for low-fat eating. In P1, the effect sizes for reductions in depression (0.75) and interpersonal sensitivity (0.85) were large. At 12 months, mean weight was unchanged. CONCLUSION: Inclusion of intensive relaxation response training in a nondieting program for overweight women enhanced stress management and medical symptoms outcomes but not weight outcomes.

Prediction of Physical Activity Level Using Processes of Change From the Transtheoretical Model: Experiential, Behavioral, or an Interaction Effect?

PURPOSE: The purpose of the present study was to compare prediction of physical activity (PA) by experiential or behavioral processes of change (POCs) or an interaction between both types of processes. DESIGN: A cross-sectional study. SETTING: This study was conducted using an online questionnaire. PARTICIPANTS: A total of 394 participants (244 women, 150 men), with a mean age of 35.12 ± 12.04 years and a mean body mass index of 22.97 ± 4.25 kg/m2 were included. MEASURES: Participants completed the Processes of Change, Stages of Change questionnaires, and the International Physical Activity Questionnaire to evaluate self-reported PA level (total, vigorous, and moderate PA). ANALYSIS: Hierarchical multiple regression models were used to test the prediction of PA level. RESULTS: For both total PA (ß = .261; P < .001) and vigorous PA (ß = .297; P < .001), only behavioral POCs were a significant predictor. Regarding moderate PA, only the interaction between experiential and behavioral POCs was a significant predictor (ß = .123; P = .017). CONCLUSION: Our results provide confirmation that behavioral processes are most prominent in PA behavior. Nevertheless, it is of interest to note that the interaction between experiential and behavioral POCs was the only element predicting moderate PA level. Experiential processes were not associated with PA level.